© 2016 SPIE. An algorithm for facial landmark detection based on template matched filtering is presented. The algorithm is able to detect and estimate the position of a set of prespecified landmarks by employing a bank of linear filters. Each filter in the bank is trained to detect a single landmark that is located in a small region of the input face image. The filter bank is implemented in parallel on a graphics processing unit to perform facial landmark detection in real-time. Computer simulation results obtained with the proposed algorithm are presented and discussed in terms of detection rate, accuracy of landmark location estimation, and real-time efficiency.
|Original language||American English|
|State||Published - 1 Jan 2016|
|Event||Proceedings of SPIE - The International Society for Optical Engineering - |
Duration: 1 Jan 2017 → …
|Conference||Proceedings of SPIE - The International Society for Optical Engineering|
|Period||1/01/17 → …|
Contreras, V., & Díaz-Ramírez, V. H. (2016). Facial landmark detection in real-time with correlation filtering. Paper presented at Proceedings of SPIE - The International Society for Optical Engineering, . https://doi.org/10.1117/12.2238098